Level

Experian

Engineering Manager (Java, AWS, Python)

Experian is hiring an Engineering Manager (Java, AWS, Python) in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Lead a UKBI engineering team while driving AI adoption to improve software quality, productivity, and operational efficiency.

javapythonawsdockerkubernetessolropensearch
engineering-managementmicroservicesdistributed-systemssoftware-developmentdevops

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. 

We are seeking a highly skilled and experienced Java Engineering Manager to lead our UKBI engineering team. The ideal candidate will have a strong background in Java, microservices, serverless architecture, Docker, EKS and search technologies such as Solr or open search. 

This role suits someone who has resolved high-priority search incidents in production and can work across a distributed, multi-cluster search estate. Day-to-day operations demand strong distributed search systems knowledge, hands-on comfort with that stack is essential.

 

What you'll do

  • Lead and mentor a team of engineers, providing guidance and support for their professional development.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Stay up-to-date with the latest industry trends and technologies to drive innovation within the team.
  • Design, develop, and implement scalable software solutions using Java, microservices architecture, Docker, EKS, Search systems with Solr or Open Search, AWS services
  • Ensure high quality software delivery through best practices in coding, testing, and deployment.
  • Actively participate in sprints, contributing hands-on to software development and implementation.
  • Maintain unit tests and contribute to test automation to ensure software reliability and maintainability.
  • Manage risks and technical impediments, communicating with leadership to ensure project success.
  • Troubleshoot and resolve complex technical issues efficiently.
  • Provide technical guidance and support to team members as needed

Qualifications:

 

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10 Years of total experience and 5+ years of experience in java, microservices, python, SQL and NoSQL database technologies
  • At least 4 years of experience in managing people
  • Drive AI adoption to improve engineering productivity, software quality, and operational efficiency.
  • Experience in search technologies such as Solr or Open Search
  • Expertise of AWS Services like EC2, EKS and Lambda.
  • Familiarity with DevOps practices and tools.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.

 

  • Certification in cloud platforms.
  • Experience building AI-enabled solutions.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

How we rate this

Engineering Manager (Java, AWS, Python) at Experian rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementMicroservicesDistributed SystemsSoftware DevelopmentDevopsJavaPythonAWS

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where microservices was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where software development was part of your work. What did you do?
  5. Tell me about a project where devops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Microservices, Distributed Systems, Software Development, and Devops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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